Algorithms from and for Nature and Life

1. Front Matter

   Pages i-xx

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2. Invited

   1. Front Matter

      Pages 1-1

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   2. Size and Power of Multivariate Outlier Detection Rules

      • Andrea Cerioli, Marco Riani, Francesca Torti

      Pages 3-17

   3. Clustering and Prediction of Rankings Within a Kemeny Distance Framework

      • Willem J. Heiser, Antonio D’Ambrosio

      Pages 19-31

   4. Solving the Minimum Sum of L1 Distances Clustering Problem by Hyperbolic Smoothing and Partition into Boundary and Gravitational Regions

      • Adilson Elias Xavier, Vinicius Layter Xavier, Sergio B. Villas-Boas

      Pages 33-46

3. Clustering and Unsupervised Learning

   1. Front Matter

      Pages 47-47

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   2. On the Number of Modes of Finite Mixtures of Elliptical Distributions

      • Grigory Alexandrovich, Hajo Holzmann, Surajit Ray

      Pages 49-57

   3. Implications of Axiomatic Consensus Properties

      • Florent Domenach, Ali Tayari

      Pages 59-67

   4. Comparing Earth Mover’s Distance and its Approximations for Clustering Images

      • Sarah Frost, Daniel Baier

      Pages 69-78

   5. A Hierarchical Clustering Approach to Modularity Maximization

      • Wolfgang Gaul, Rebecca Klages

      Pages 79-86

   6. Mixture Model Clustering with Covariates Using Adjusted Three-Step Approaches

      • Dereje W. Gudicha, Jeroen K. Vermunt

      Pages 87-94

   7. Efficient Spatial Segmentation of Hyper-spectral 3D Volume Data

      • Jan Hendrik Kobarg, Theodore Alexandrov

      Pages 95-103

   8. Cluster Analysis Based on Pre-specified Multiple Layer Structure

      • Akinori Okada, Satoru Yokoyama

      Pages 105-113

   9. Factor PD-Clustering

      • Cristina Tortora, Mireille Gettler Summa, Francesco Palumbo

      Pages 115-123

4. Statistical Data Analysis, Visualization and Scaling

   1. Front Matter

      Pages 125-125

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   2. Clustering Ordinal Data via Latent Variable Models

      • Damien McParland, Isobel Claire Gormley

      Pages 127-135

   3. Sentiment Analysis of Online Media

      • Michael Salter-Townshend, Thomas Brendan Murphy

      Pages 137-145

   4. Visualizing Data in Social and Behavioral Sciences: An Application of PARAMAP on Judicial Statistics

      • Ulas Akkucuk, J. Douglas Carroll, Stephen L. France

      Pages 147-154

   5. Properties of a General Measure of Configuration Agreement

      • Stephen L. France

      Pages 155-163

   6. Convex Optimization as a Tool for Correcting Dissimilarity Matrices for Regular Minimality

      • Matthias Trendtel, Ali Ünlü

      Pages 165-174

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.​

• Applied Statistics
• Classification
• Clustering
• Data Analysis
• Statistical Methodology

• University of Essex Department of Mathematical Sciences, Colchester, United Kingdom

  Berthold Lausen

• Ghent University Department of Marketing, Ghent, Belgium

  Dirk Van den Poel

• University of Marburg Databionics, FB 12, Marburg, Germany

  Alfred Ultsch

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